{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# First break picking datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* [Dataset 1](#Dataset-1)   \n",
    "* [Dataset 2](#Dataset-2)   \n",
    "* [Dataset 3](#Dataset-3)  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dataset consists of a raw field seismograms and corresponding first break pickings.   \n",
    "Dataset is split into training and validation parts."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Train**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| Filename | About this file | Size | N ffid | Length |\n",
    "| :------ | ----: | ----: | ----: | ----: |\n",
    "| Pal_Flatiron_1k.sgy | Raw field seismogram | 2.5 Gb | 1001 | 1.4 s |\n",
    "| Pal_Flatiron_1k_picking.csv | First break time | 16 Mb | 1001 | - |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Validation**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| Filename | About this file | Size | N ffid | Length |\n",
    "| :------ | ----: | ----: | ----: | ----: |\n",
    "| Pal_Flatiron_1k_val.sgy | Raw field seismogram | ? | ? | ? |\n",
    "| Pal_Flatiron_1k_val_picking.csv | First break time | ? | ? | - |"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.append('..')\n",
    "\n",
    "from seismicpro.src import (SeismicDataset, FieldIndex, TraceIndex,\n",
    "                            seismic_plot)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define the index."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>TraceNumber</th>\n",
       "      <th>FIRST_BREAK_TIME</th>\n",
       "      <th>TRACE_SEQUENCE_FILE</th>\n",
       "      <th>file_id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>raw</th>\n",
       "      <th>raw</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FieldRecord</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10407</th>\n",
       "      <td>1956</td>\n",
       "      <td>77.291588</td>\n",
       "      <td>1</td>\n",
       "      <td>/data/FB/dataset_1/Pal_Flatiron_1k.sgy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10407</th>\n",
       "      <td>1957</td>\n",
       "      <td>75.197472</td>\n",
       "      <td>2</td>\n",
       "      <td>/data/FB/dataset_1/Pal_Flatiron_1k.sgy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10407</th>\n",
       "      <td>1955</td>\n",
       "      <td>95.463326</td>\n",
       "      <td>3</td>\n",
       "      <td>/data/FB/dataset_1/Pal_Flatiron_1k.sgy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10407</th>\n",
       "      <td>1958</td>\n",
       "      <td>96.654495</td>\n",
       "      <td>4</td>\n",
       "      <td>/data/FB/dataset_1/Pal_Flatiron_1k.sgy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10407</th>\n",
       "      <td>1954</td>\n",
       "      <td>114.333763</td>\n",
       "      <td>5</td>\n",
       "      <td>/data/FB/dataset_1/Pal_Flatiron_1k.sgy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            TraceNumber FIRST_BREAK_TIME TRACE_SEQUENCE_FILE  \\\n",
       "                                                         raw   \n",
       "FieldRecord                                                    \n",
       "10407              1956        77.291588                   1   \n",
       "10407              1957        75.197472                   2   \n",
       "10407              1955        95.463326                   3   \n",
       "10407              1958        96.654495                   4   \n",
       "10407              1954       114.333763                   5   \n",
       "\n",
       "                                            file_id  \n",
       "                                                raw  \n",
       "FieldRecord                                          \n",
       "10407        /data/FB/dataset_1/Pal_Flatiron_1k.sgy  \n",
       "10407        /data/FB/dataset_1/Pal_Flatiron_1k.sgy  \n",
       "10407        /data/FB/dataset_1/Pal_Flatiron_1k.sgy  \n",
       "10407        /data/FB/dataset_1/Pal_Flatiron_1k.sgy  \n",
       "10407        /data/FB/dataset_1/Pal_Flatiron_1k.sgy  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path_raw = '/data/FB/dataset_1/Pal_Flatiron_1k.sgy'\n",
    "markup_path='/data/FB/dataset_1/Pal_Flatiron_1k_picking.csv'\n",
    "\n",
    "index = (FieldIndex(name='raw', path=path_raw, markup_path=markup_path))\n",
    "\n",
    "index.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Total number of field records and traces:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1001, 753667)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(index), sum(index.tracecounts)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Number of traces in Field Records varies in range:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(381, 850)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = TraceIndex(index)._idf\n",
    "df.groupby(by=['FieldRecord']).size().min(), df.groupby(by=['FieldRecord']).size().max()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sample seismogram and picking."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cv = 1000\n",
    "batch = (SeismicDataset(index).next_batch(batch_size=1)\n",
    "         .load(components='raw', fmt='segy')\n",
    "         .load(components='markup', fmt='picks')\n",
    "         .seismic_plot(src='raw', index=index.indices[0], cmap='gray', vmin=-cv, vmax=cv, s=3,\n",
    "                       src_picking='markup'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dataset consists of a raw field seismograms and corresponding first break pickings.   \n",
    "Dataset is split into training and validation parts."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this dataset only traces with **offset < 1400** have labels."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Train**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| Filename | About this file | Size | N ffid | Length |\n",
    "| :------ | ----: | ----: | ----: | ----: |\n",
    "| WZ_Flatiron_1k.sgy | Raw field seismogram | 2.4 Gb | 1001 | 1.4 s |\n",
    "| WZ_Flatiron_1k_picking.csv | First break time | 16 Mb | 1001 | - |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Validation**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| Filename | About this file | Size | N ffid | Length |\n",
    "| :------ | ----: | ----: | ----: | ----: |\n",
    "| WZ_Flatiron_1k_val.sgy | Raw field seismogram | ? | ? | ? |\n",
    "| WZ_Flatiron_1k_val_picking.csv | First break time | ? | ? | - |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below we show sample trace headers and sample seismogram with picking from the train dataset.   \n",
    "Sample trace headers:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define index."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>TraceNumber</th>\n",
       "      <th>FIRST_BREAK_TIME</th>\n",
       "      <th>TRACE_SEQUENCE_FILE</th>\n",
       "      <th>file_id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>raw</th>\n",
       "      <th>raw</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FieldRecord</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3125</th>\n",
       "      <td>448</td>\n",
       "      <td>67.0</td>\n",
       "      <td>1</td>\n",
       "      <td>/data/FB/dataset_2/WZ_Flatiron_1k.sgy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3125</th>\n",
       "      <td>447</td>\n",
       "      <td>82.0</td>\n",
       "      <td>2</td>\n",
       "      <td>/data/FB/dataset_2/WZ_Flatiron_1k.sgy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3125</th>\n",
       "      <td>446</td>\n",
       "      <td>112.0</td>\n",
       "      <td>3</td>\n",
       "      <td>/data/FB/dataset_2/WZ_Flatiron_1k.sgy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3125</th>\n",
       "      <td>445</td>\n",
       "      <td>137.0</td>\n",
       "      <td>4</td>\n",
       "      <td>/data/FB/dataset_2/WZ_Flatiron_1k.sgy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3125</th>\n",
       "      <td>392</td>\n",
       "      <td>172.0</td>\n",
       "      <td>5</td>\n",
       "      <td>/data/FB/dataset_2/WZ_Flatiron_1k.sgy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            TraceNumber FIRST_BREAK_TIME TRACE_SEQUENCE_FILE  \\\n",
       "                                                         raw   \n",
       "FieldRecord                                                    \n",
       "3125                448             67.0                   1   \n",
       "3125                447             82.0                   2   \n",
       "3125                446            112.0                   3   \n",
       "3125                445            137.0                   4   \n",
       "3125                392            172.0                   5   \n",
       "\n",
       "                                           file_id  \n",
       "                                               raw  \n",
       "FieldRecord                                         \n",
       "3125         /data/FB/dataset_2/WZ_Flatiron_1k.sgy  \n",
       "3125         /data/FB/dataset_2/WZ_Flatiron_1k.sgy  \n",
       "3125         /data/FB/dataset_2/WZ_Flatiron_1k.sgy  \n",
       "3125         /data/FB/dataset_2/WZ_Flatiron_1k.sgy  \n",
       "3125         /data/FB/dataset_2/WZ_Flatiron_1k.sgy  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path_raw = '/data/FB/dataset_2/WZ_Flatiron_1k.sgy'\n",
    "markup_path='/data/FB/dataset_2/WZ_Flatiron_1k_picking.csv'\n",
    "\n",
    "index = (FieldIndex(name='raw', path=path_raw, markup_path=markup_path))\n",
    "\n",
    "index.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Total number of field records and traces:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1001, 426608)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(index), sum(index.tracecounts)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Number of traces in Field Records varies in range:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(216, 454)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = TraceIndex(index)._idf\n",
    "df.groupby(by=['FieldRecord']).size().min(), df.groupby(by=['FieldRecord']).size().max()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sample seismogram and picking."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "batch = (SeismicDataset(index).next_batch(batch_size=1)\n",
    "         .load(components='raw', fmt='segy')\n",
    "         .load(components='markup', fmt='picks')\n",
    "         .seismic_plot(src='raw', index=index.indices[0], cmap='gray',vmin=-1,vmax=1, s=3,\n",
    "                       src_picking='markup'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this dataset only traces with offsets < 1400 have labels."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dataset consists of a raw field seismograms and corresponding first break pickings.   \n",
    "Dataset is split into training and validation parts."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Train**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| Filename | About this file | Size | N ffid | Length |\n",
    "| :------ | ----: | ----: | ----: | ----: |\n",
    "| 3_FBP_1k-ffid_3s.sgy | Raw field seismogram | 2.4 Gb | 460 | 2.9 s |\n",
    "| 3_FBP_1k-ffid_3s.sgy_picking.csv | First break time | 10 Mb | 460 | - |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Validation**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| Filename | About this file | Size | N ffid | Length |\n",
    "| :------ | ----: | ----: | ----: | ----: |\n",
    "| 3_FBP_1k-ffid_3s_val.sgy | Raw field seismogram | ? | ? | ? |\n",
    "| 3_FBP_1k-ffid_3s.sgy_val_picking.csv | First break time | ? | ? | - |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below we show sample trace headers and sample seismogram with picking from the train dataset.   \n",
    "Sample trace headers:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>TraceNumber</th>\n",
       "      <th>FIRST_BREAK_TIME</th>\n",
       "      <th>TRACE_SEQUENCE_FILE</th>\n",
       "      <th>file_id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>raw</th>\n",
       "      <th>raw</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FieldRecord</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>143033</th>\n",
       "      <td>1141</td>\n",
       "      <td>96</td>\n",
       "      <td>1</td>\n",
       "      <td>/data/FB/dataset_3/3_FBP_1k-ffid_3s.sgy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143033</th>\n",
       "      <td>1140</td>\n",
       "      <td>83</td>\n",
       "      <td>2</td>\n",
       "      <td>/data/FB/dataset_3/3_FBP_1k-ffid_3s.sgy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143033</th>\n",
       "      <td>1139</td>\n",
       "      <td>133</td>\n",
       "      <td>3</td>\n",
       "      <td>/data/FB/dataset_3/3_FBP_1k-ffid_3s.sgy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143033</th>\n",
       "      <td>1142</td>\n",
       "      <td>171</td>\n",
       "      <td>4</td>\n",
       "      <td>/data/FB/dataset_3/3_FBP_1k-ffid_3s.sgy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143033</th>\n",
       "      <td>1138</td>\n",
       "      <td>166</td>\n",
       "      <td>5</td>\n",
       "      <td>/data/FB/dataset_3/3_FBP_1k-ffid_3s.sgy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            TraceNumber FIRST_BREAK_TIME TRACE_SEQUENCE_FILE  \\\n",
       "                                                         raw   \n",
       "FieldRecord                                                    \n",
       "143033             1141               96                   1   \n",
       "143033             1140               83                   2   \n",
       "143033             1139              133                   3   \n",
       "143033             1142              171                   4   \n",
       "143033             1138              166                   5   \n",
       "\n",
       "                                             file_id  \n",
       "                                                 raw  \n",
       "FieldRecord                                           \n",
       "143033       /data/FB/dataset_3/3_FBP_1k-ffid_3s.sgy  \n",
       "143033       /data/FB/dataset_3/3_FBP_1k-ffid_3s.sgy  \n",
       "143033       /data/FB/dataset_3/3_FBP_1k-ffid_3s.sgy  \n",
       "143033       /data/FB/dataset_3/3_FBP_1k-ffid_3s.sgy  \n",
       "143033       /data/FB/dataset_3/3_FBP_1k-ffid_3s.sgy  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path_raw = '/data/FB/dataset_3/3_FBP_1k-ffid_3s.sgy'\n",
    "markup_path='/data/FB/dataset_3/3_FBP_1k-ffid_3s_picking.csv'\n",
    "\n",
    "index = (FieldIndex(name='raw', path=path_raw, markup_path=markup_path))\n",
    "\n",
    "index.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Total number of field records and traces:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(460, 61857)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(index), sum(index.tracecounts)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Number of traces in Field Records varies in range:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(129, 140)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = TraceIndex(index)._idf\n",
    "df.groupby(by=['FieldRecord']).size().min(), df.groupby(by=['FieldRecord']).size().max()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sample seismogram and picking."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "batch = (SeismicDataset(index).next_batch(batch_size=10)\n",
    "         .load(components='raw', fmt='segy')\n",
    "         .load(components='markup', fmt='picks')\n",
    "         .seismic_plot(src='raw', index=index.indices[0], cmap='gray',vmin=-100,vmax=100, s=5,\n",
    "                       src_picking='markup'))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
